AI Business Audit
The audit answers a question most companies cannot answer precisely: where does effort go, and which of it should a machine be doing?
What we examine
Six dimensions, scored independently so the result is a picture of the business rather than an opinion about software.
- People and roles — who owns what, and where knowledge sits with one person
- Workflows — the repeated sequences that produce revenue or cost
- Systems — what you run, what talks to what, and what does not
- Data — where it lives, how clean it is, whether a machine could read it
- Decisions — who decides, on what evidence, how often
- Risk — where a delay, error or departure hurts most
What you receive
A readiness score per dimension, a ranked list of agent opportunities scored on frequency, structure, data readiness and revenue impact, and a written recommendation on sequencing.
How long it takes
The self-serve diagnostic takes minutes and produces an immediate report. A full engagement audit runs alongside your team over one to three weeks depending on the number of departments in scope.
Questions
- Do we need clean data before an audit?
- No. Data readiness is one of the things the audit measures. Knowing where the data is unusable is part of the result.
- Is the audit tied to buying an implementation?
- No. The audit stands on its own and the report is yours regardless of what you do next.
Start with the baseline, not the tooling.
Start the AI Business Audit